Original subtitles

Instructor: HR managers can also become overwhelmed

with the amount of data science terms

and buzzwords flying around.

This means they sometimes label job positions

in a misleading way.

Thus, you can end up confused

about how to match a job title with a discipline.

So what are the job positions

for each of the activities you see on the infographic.

Data architect and data engineer

and big data architect and big data engineer respectively

are crucial titles on the market.

A person in these roles is regarded

as a very important part of the entire process

of solving a data science or a business task.

A data architect creates databases from scratch.

They design the way data will be retrieved,

processed and consumed.

The tasks of the data engineer step on the work

of the data architect.

His primary job responsibility

is to further process the obtained data

so that it is ready for analysis.

So the result of his work

is something analysts and people in analytics positions

will heavily rely on: a clean and organized dataset.

Great.

In fact, the data in a database is not created once

and for all.

You have a certain flow into and from the database.

And there is a person who handles this control of data.

Her position is database administrator

and she mainly works with traditional data.

Needless to say, administration of big data

is usually automated.

Fantastic.

A BI analyst will do analyses and reporting

of past historical data.

What a BI consultant does exactly is vague though.

BI consultants are often external BI analysts.

Many firms outsource their data science departments

as they don't need or want to maintain one.

BI consultants would be BI analysts

had they been employed.

However, their job can be more varied

as they hop on and off different projects.

Finally, a BI developer is a person

who handles more advanced programming tools,

such as Python and especially SQL

in order to create analyses specifically designed

for the company.

It is the third most frequently encountered job position

in the BI team of a firm.

Lovely.

Now we must say that the remaining terms

are somehow mixed and the line between the activity

of one and the other is very thin.

A person who employs traditional statistical methods

or unconventional machine learning techniques

for making predictions

could still be labeled a data scientist.

Moreover, even if the last two columns

are about forecasting future values,

data analyst is the job title

for those who prepare more advanced types of analyses

and do the basic part of the predictions

of the data science team.

Finally, a machine learning engineer.

This job is tough to do but easy to classify.

It refers to those who are looking for ways

to apply state-of-the-art computational models

developed in the field of machine learning

into solving complex data science and business tasks.

We hope you enjoyed watching this video.

Thank you.